We've been managing Google Ads since 2002 — and we've rebuilt around AI without losing what we learned along the way. Here's what an agency built for both worlds looks like.
Book the 30-min walkthroughIf you're using AI in your own business, you've probably already asked: what does an agency actually do now that AI doesn't?
You may have drafted ad copy in ChatGPT. Generated images in Midjourney. Automated reports with Zapier or n8n. It works. So the maths starts to feel different — and you start wondering whether the agency line on your invoice is doing enough to earn its place.
You're right to ask. The traditional agency model — we run the platforms, you read the reports — is genuinely under pressure. A lot of what agencies used to charge for can now be done in-house, faster and cheaper, by a team that knows how to use AI.
Narrowed, because anything AI does well shouldn't be on our invoice anymore.
Deepened, because the parts that remain — connecting platforms that don't talk to each other, attributing revenue back to its actual source, building the loops between booking systems and ads, between reviews and copy, between stock levels and budget — these are harder in the AI era, not easier. They require infrastructure most agencies haven't built and most businesses don't want to build internally.
And experienced. We didn't show up last week with ChatGPT and a logo. We've been managing Google Ads since 2002 — $14M+ in client ad spend, average client tenure 6.4 years, through every algorithm change and platform rebuild Google has thrown at us. That experience is what makes the AI rebuild credible. AI is a powerful set of tools, but it's only valuable when it's wielded by people who already know where the real wins are. Without that ground truth, you're not running campaigns — you're running prompts.
Three roles, not one. Each does what it's actually best at. The split shifts as your needs shift — this is a partnership, not a service-provider relationship.
Most agencies work the way Google built the tools — logging into Google Ads, clicking through screens, adjusting settings one campaign at a time. We work a layer deeper: our systems connect directly into the data behind every platform. That's what lets us pull your call records, reviews, booking system, and stock into the same picture — and feed it all into one campaign decision loop.
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Both you and we have hands on the same data — data flows in, decisions flow back out.
The traditional agency cost structure scaled with account-manager headcount. The new one scales with capability. The work doesn't shrink — but you stop paying for hours that don't earn their place.
Specifics, not claims. The first two are how 24 years of running Google Ads combine with AI in the actual work. The rest are things your current agency demonstrably isn't doing.
Three live examples of work that wasn't possible under the old agency model.
Campaign budgets respond automatically to weather forecasts — spend ramps up during heavy rain when blocked drains spike, scales back when conditions are dry.
Campaign budgets respond automatically to therapist availability. When the team is booked out, ads back off; when therapists open up, budgets ramp back. We don't pay to drive demand the business can't fulfil.
Every lead — form or call — traced back to keyword. They now know they're getting $10–$15 back for every dollar they spend with Google.
30 minutes. We'll walk through your current Google Ads account and your data setup with you, then map specifically how this model would work for your business — what we'd connect, what AI would handle, what you'd run yourself, and what stays with us. You leave with a working picture of what's possible. No pitch, no follow-up sequence.